Ingenjör inom data/elektronik - Lediga jobb

På uppdrag av vår kund söker vi nu en Data Engineer som vill vara med och bygga framtidens dataplattformar hos några av Sveriges mest spännande företag och organisationer. Här får du möjlighet att arbeta med moderna teknologier inom Microsofts dataekosystem och bidra till lösningar som skapar affärsvärde, stärker verksamheter och förbättrar människors vardag.

Om verksamheten Vår kund erbjuder en miljö där teknik, innovation och kompetensutveckling står i centrum. Här arbetar erfarna specialister tillsammans för att lösa komplexa utmaningar och skapa långsiktigt värde genom moderna data- och analyslösningar.

Kulturen präglas av kunskapsdelning, samarbete och ett starkt fokus på personlig utveckling. Du får möjlighet att arbeta med moderna teknologier, utveckla din kompetens och bidra till projekt som gör verklig skillnad för verksamheter och användare.

Ditt framtida team Du blir en del av ett team med hög teknisk kompetens inom data engineering, analytics och dataplattformar. Teamet arbetar nära både tekniska och verksamhetsnära intressenter för att designa och implementera skalbara lösningar som möter dagens och morgondagens behov.

Arbetet sker i nära samarbete med andra specialister där erfarenhetsutbyte, problemlösning och kontinuerligt lärande är en naturlig del av vardagen.

Om rollen Som Data Engineer kommer du att ha en central roll i utvecklingen av moderna dataplattformar och dataflöden. Du arbetar med att designa, bygga och optimera lösningar som möjliggör effektiv hantering, bearbetning och analys av stora datamängder.

Exempel på arbetsuppgifter:

• Utveckla och vidareutveckla moderna dataplattformar i molnbaserade miljöer.

• Bygga och optimera data pipelines för insamling, transformation och lagring av data.

• Delta i migrering och modernisering av befintliga datalösningar.

• Implementera datamodeller och arkitekturprinciper för skalbara lösningar.

• Säkerställa datakvalitet, prestanda och långsiktig förvaltning.

• Samarbeta med utvecklare, analytiker, arkitekter och verksamhetsrepresentanter för att skapa affärsvärde genom data.

• Bidra till teknisk utveckling och kunskapsdelning inom teamet.

Din profil Vi söker dig som har ett starkt intresse för data, teknik och problemlösning och som trivs med att arbeta i komplexa tekniska miljöer.

För att lyckas i rollen tror vi att du har:

• Flera års erfarenhet som Data Engineer eller i en liknande roll.

• Mycket goda kunskaper i SQL.

• Erfarenhet av moderna dataplattformar och molnbaserade datalösningar.

• Erfarenhet av Microsoft Fabric, Azure Synapse eller Azure Databricks.

• Erfarenhet av notebooks och data pipelines.

• Erfarenhet av datamodellering och arkitektur för analys- och dataplattformar.

• Flytande kunskaper i svenska och engelska, både i tal och skrift.

Det är meriterande om du har erfarenhet av:

• Power BI och semantiska modeller.

• Python.

• DevOps, Git och CI/CD-processer.

• Data Warehouse-lösningar.

• Kimball-modellering.

• AI-, Machine Learning- eller Data Science-relaterade initiativ.

Som person är du analytisk, nyfiken och lösningsorienterad. Du trivs i samarbeten, tar ansvar för ditt arbete och drivs av att skapa hållbara och värdeskapande lösningar.

Välkommen med din ansökan! Vi ser fram emot att höra från dig och berätta mer om möjligheten att bli en del av en organisation där teknik, kompetensutveckling och innovation står i centrum.

Rekryteringen genomförs av Ed Group. Har du frågor kring rollen eller processen är du varmt välkommen att kontakta tyra.nguyen@edzagroup.se.

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI